Malaysia vs Sudan (former): Watermelons — Gross Production Value
Watermelons — Gross Production Value over time
- Malaysia
- Sudan (former)
How they compare
Malaysia currently reports 313,108 1000 SLC against 270,842 1000 SLC in Sudan (former), a difference of 42,266 1000 SLC.
That makes Malaysia's figure about 1.2 times Sudan (former)'s.
The two have swapped places 1 time across 21 shared years of data; in 1991 it was Malaysia ahead.
Malaysia ranks 51st and Sudan (former) ranks 54th of 99 countries.
Across the 3 decades both report, Malaysia averaged higher in 1 and Sudan (former) in 2.
Head to head by decade
| Decade | Malaysia | Sudan (former) | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 78,716 1000 SLC | 5,322 1000 SLC | 73,394 1000 SLC | Malaysia |
| 2000s | 100,637 1000 SLC | 268,715 1000 SLC | 168,078 1000 SLC | Sudan (former) |
| 2010s | 187,712 1000 SLC | 290,912 1000 SLC | 103,200 1000 SLC | Sudan (former) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Malaysia or Sudan (former)?
- Malaysia, at 313,108 1000 SLC against 270,842 1000 SLC in Sudan (former) as of 2024.
- What is the difference in watermelons — gross production value between Malaysia and Sudan (former)?
- 42,266 1000 SLC, with Malaysia ahead.
- How many years of comparable data are there for Malaysia and Sudan (former)?
- 21 years are reported by both, from 1991 to 2011.
- How do Malaysia and Sudan (former) rank globally for watermelons — gross production value?
- Malaysia ranks 51st and Sudan (former) ranks 54th of 99 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.